Real-Time Motion Detection Using Dynamic Mode Decomposition

arXiv:2405.05057v1 Announce Type: new
Abstract: Dynamic Mode Decomposition (DMD) is a numerical method that seeks to fit timeseries data to a linear dynamical system. In doing so, DMD decomposes dynamic data into spatially coherent modes that evolve in time according to exponential growth/decay or with a fixed frequency of oscillation. A prolific application of DMD has been to video, where one interprets the high-dimensional pixel space evolving through time as the video plays. In this work, we propose a simple …

abstract application arxiv cs.cv data detection dynamic growth linear numerical prolific real-time timeseries type